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Life Sciences Accelerated R&D Services The Science of Getting Products to Patients Faster Study Data Standardization Plan Use Case Experience Dave Izard May 14, 2015

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Life Sciences

Accelerated R&D ServicesThe Science of Getting Products to Patients Faster

Study Data Standardization Plan

Use Case Experience

Dave IzardMay 14, 2015

Client Use Case for Study Data Standardization Plan

• PreNDA Meeting Briefing Package for NCE– First discussion of clinical data details w/ FDA @ PreNDA meeting

• Thirteen Studies– 10 phase 1 (7 early, 3 recent)– 1 phase 2– 1 phase 3– 1 phase 3 extension

• Compound purchased from another company following 1st phase 1 study

© 2015 Accenture All Rights Reserved. 2

Goals for Study Data Standardization Plan

• Convey standards utilized at study level for clinical studies• Rationalize reason for limited legacy conversion• Rationalize decision for limited / no pooling of data

© 2015 Accenture All Rights Reserved. 3

Section 2 – List of Studies (2.2 Clinical Studies)

• Study Status– No formal definitions available for planned, ongoing & completed– Agency decisions made based on concrete study start date– Sponsor wanted “Study Start Date” and “Study End Date” with available

check boxes of “planned” & “actual”, coupled with a formal agency definition for “Study End Date” in order to use this table

© 2015 Accenture All Rights Reserved. 4

Section 2 – List of Studies (2.2 Clinical Studies)

• Study Design / Trial Blinding Schema / Diagnosis Group / Indication Type / Study Type– Protocols & CSRs already written using company / industry conventions– No desire or willingness to restate these items using controlled

terminology after the fact– Concern about potential requirement to write this way in the future

© 2015 Accenture All Rights Reserved. 5

Section 2 – List of Studies (2.2 Clinical Studies)

• Submit Study Datasets– Decision to submit study datasets is independent of the characteristics of

a study– A simple “yes/no” response is of limited value

• Multiple submissions for ongoing studies?• Submission w/ CSR vs. SPA vs. NDA vs. 120DSU

© 2015 Accenture All Rights Reserved. 6

Section 4 vs. Table Ultimately Produced

© 2015 Accenture All Rights Reserved. 7

Section 4 vs. Table Ultimately Produced

© 2015 Accenture All Rights Reserved. 8

Section 4 vs. Table Ultimately Produced

© 2015 Accenture All Rights Reserved. 9

CRF annotation standards need to be taken into

consideration…

Data definition

file standards could be different

across data types…

Section 4 vs. Table Ultimately Produced

© 2015 Accenture All Rights Reserved. 10

Section 4 vs. Table Ultimately Produced

© 2015 Accenture All Rights Reserved. 11

Does this add value?

Transparent rationale for use of legacy standards…

Observations

© 2015 Accenture All Rights Reserved. 12

Should probably remove hard version of Study Data TCG from

this section of document…

Observations

• This table only holds the information pertaining to the data utilized to support the original CSR

• Any assets created as the result of legacy conversion for other purposes are documented in a separate table

© 2015 Accenture All Rights Reserved. 13

Observations

• Need to add context (e.g., Tabulation Data, Adverse Event Coding) between Study Identifier & Expected Standard

© 2015 Accenture All Rights Reserved. 14

Study Data Standardization Plan• No mention of if / how / when pools

will be developed, submitted and potentially updated over time

• No mention of if / how / when individual studies will be submitted and potentially updated over time

© 2015 Accenture All Rights Reserved. 15

Observations

Actions to Consider• Get FDA buy in that pooled data

standardization should be recorded in this same document

• Separate standardization versus submission strategy